Course Details in 2027/28 Session

Module Title	LM Omics Techniques and Technologies and their Application to Genomic Medicine
School	Cancer Studies
Department	Inst of Cancer / Genomic Sci
Module Code	02 37202
Module Lead	Dr Samantha Butler, Dr Pauline Rehal (BWH)
Level	Masters Level
Credits	20
Semester	Semester 1
Pre-requisites
Co-requisites
Restrictions	It is a requirement that students achieve a mark of at least 35% in their summative exam
Contact Hours	Seminar-24 hours Tutorial-2 hours Practical Classes and workshops-10 hours Guided independent study-164 hours Total: 200 hours
Exclusions
Description	This module explores current genomics techniques used for DNA sequencing (e.g. targeted approaches, whole exome and whole genome sequencing) and RNA sequencing, using highly parallel methodologies, together with current technologies routinely used to investigate genomic variation in the clinical setting. This module will introduce the bioinformatics approaches required for the analysis of genomic data. The module will also cover the use of array based methodologies and RNA sequencing in estimating levels of protein expression, micro RNAs and long non–coding RNAs. An introduction to metabolomics and proteomics, which are important for the functional interpretation of genomic data and discovery of disease biomarkers will also be included. Students will also learn about the strategies employed to evaluate pathogenicity of variants for clinical reporting.
Learning Outcomes	By the end of the module students should be able to: Critically evaluate a range of up-to-date genomic techniques and platforms used to interrogate targeted parts of the genome or whole genomes Critically evaluate the application of current genomic techniques and technologies in clinical and research settings using examples in cancer, common and rare inherited diseases, and infectious diseases Critically evaluate a range of techniques used to assess the transcriptome Evaluate the role of metabolomics and proteomics in the functional interpretation of genomic data Justify the approaches to the bioinformatics analysis and interpretation of ‘omics’ data Evaluate the approaches required to evaluate the pathogenicity of variants identified in whole genome sequencing and other genomic technologies
Assessment	37202-01 : Overall Module Mark : Mixed (100%)
Assessment Methods & Exceptions	Assessment: 2 hour written exam 50% Coursework total 50%: 1. Poster presentation and oral defence of poster 2. Written synopsis of poster and defence of choice of topic and content eassessment: Academic failure: Students are required to repeat failed components only Failure to submit: Submission of coursework is compulsory for the programme. Students are advised that failure to submit without justifiable reason could result in failure of the module. Students will be required to submit outstanding work to meet the module outcomes
Other
Reading List